ATP · Left-handed · 19 charted matches · 2014–2021
Guido Pella
Archetype: Avoids the wide serve · Ad-court slider
Against an average opponent
Serve and return points won, refitted against every opponent at once so a record built on weak or strong opposition is put on the same scale. Career, all surfaces, with a 90% margin. Raw is the plain share of points won.
Value per 100 shots
Points gained per 100 shots compared with an average tour player in the same position, adjusted for the strength of the opponents faced, with a 90% margin (shots clustered by match). Raw is before the opponent adjustment. Built on 8,055 shots.
Shot expected value
The share of points Guido Pella goes on to win after each option in the positions they face most often, shrunk toward tour average when the sample is small. Showing the 8 most-used options; teal marks the best one with at least 30 shots.
Rally, shots 5–8: drive to your backhand side
position worth 46% to the average player · 605 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH crosscourt | 38% | 44.3%±5.2 | 47.6% |
| BH through the middle | 31% | 42.4%±5.7 | 43.7% |
| BH down the line | 7% | 43.8%±10.5 | 46.4% |
| FH inside-in | 6% | 43.5%±11.0 | 54.7% |
| FH inside-out | 4% | 49.7%±12.3 | 51.8% |
| BH slice through the middle | 4% | 41.0%±12.2 | 35.1% |
| FH through the middle | 4% | 50.1%±12.7 | 45.2% |
| BH slice down the line | 3% | 34.5%±13.0 | 37.1% |
Rally, shots 5–8: drive to your forehand side
position worth 44% to the average player · 449 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 55% | 48.6%±5.0 | 46.6% |
| FH through the middle | 22% | 38.6%±7.3 | 41.5% |
| FH down the line | 17% | 53.6%±8.4 | 44.7% |
| FH slice through the middle | 3% | 16.9%±10.4 | 24.5% |
Rally, shots 5–8: drive to your middle
position worth 51% to the average player · 442 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 31% | 47.8%±6.5 | 52.7% |
| FH through the middle | 19% | 53.3%±8.1 | 47.0% |
| FH down the line | 18% | 53.8%±8.2 | 51.5% |
| BH through the middle | 14% | 44.5%±8.9 | 46.8% |
| BH crosscourt | 12% | 37.8%±9.5 | 49.1% |
| FH crosscourt + approach | 2% | 73.2%±13.3 | 69.9% |
Long rally, 9+: drive to your backhand side
position worth 46% to the average player · 364 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH crosscourt | 41% | 44.2%±6.2 | 48.0% |
| BH through the middle | 26% | 43.2%±7.7 | 43.8% |
| BH down the line | 9% | 43.7%±11.4 | 46.5% |
| BH slice through the middle | 7% | 38.4%±11.7 | 35.1% |
| FH inside-in | 5% | 50.9%±13.2 | 54.3% |
| BH slice crosscourt | 4% | 34.6%±13.6 | 42.1% |
| BH slice down the line | 3% | 29.5%±13.5 | 35.8% |
| FH inside-out | 3% | 55.1%±14.9 | 52.6% |
Serve under pressure
Pressure predictability index +4 How much less varied Guido Pella's first-serve direction gets on break points. Positive means easier to read. Based on 146 break-point first serves.
Deuce court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 35% | 39% | 66% / 73% |
| Body | 11% | 6% | 67% / 63% |
| T | 54% | 55% | 68% / 75% |
724 normal · 33 break-point 1st serves
Ad court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 47% | 64% ▲ | 67% / 73% |
| Body | 7% | 11% | 66% / 63% |
| T | 46% | 26% ▼ | 71% / 72% |
593 normal · 113 break-point 1st serves
Is the serve mix in equilibrium?
Game theory says a well-mixed server wins equally often with every direction they use. If one direction wins more, it's underused and points are being left behind. This is the minimax test Walker and Wooders ran on Wimbledon finals, applied to every charted first serve. Win rates include faults. "Optimal" allows for returners reading a habit. No measurable response (−0.05 ± 0.15 points per 100 serves for every 10 points of habitual usage), measured from ATP servers whose mix drifted between matches. Shifts stay within the range servers' habits actually vary, the only range that response was measured over.
Deuce court
| 1st serve | Usage | Points won | Optimal |
|---|---|---|---|
| Wide | 35% | 57.7%±4.7 n=266 | 33% ▼ |
| Body | 10% | 63.9%±7.6 n=79 | 0% ▼ |
| T | 54% | 59.5%±3.8 n=412 | 67% ▲ |
Consistent with an optimal mix (p = 0.42).
Optimal mix: +0.1 per 100 first serves.
Ad court
| 1st serve | Usage | Points won | Optimal |
|---|---|---|---|
| Wide | 50% | 62.9%±4.1 n=352 | 56% ▲ |
| Body | 8% | 64.0%±8.7 n=53 | 0% ▼ |
| T | 43% | 61.6%±4.4 n=301 | 44% ▲ |
Consistent with an optimal mix (p = 0.86).
Optimal mix: +0.2 per 100 first serves.
Exploitability 0.15 points per 100 first serves What the optimal mix would win over the current one, both courts. More exploitable than 100% of ATP servers. Tested on matches they weren't fitted on, ATP mixes picked this way win 0.33 per 100 first serves on average.
Repeating the previous direction to the same court: +0.8±4.0 points per 100 against switching. Negative means returners read repeats. Tour-wide, repeating costs women about 0.4 points per 100 and costs men nothing, so men's returners don't measurably anticipate direction. (542 repeats, 883 switches.)
Return by serve direction
Return points won against each serve direction, compared with the tour average.
| Serve | Court | Direction | Points | Won | vs tour | |
|---|---|---|---|---|---|---|
| 1st | Ad court | Body | 39 | 36% | −0.6±9.5 | |
| 1st | Ad court | T | 227 | 30% | +2.1±4.7 | |
| 1st | Ad court | Wide | 185 | 32% | +4.5±5.2 | |
| 1st | Deuce court | Body | 39 | 41% | +3.9±9.7 | |
| 1st | Deuce court | T | 214 | 26% | +1.0±4.6 | |
| 1st | Deuce court | Wide | 247 | 24% | −3.3±4.2 | |
| 2nd | Ad court | Body | 99 | 56% | +6.3±7.2 | |
| 2nd | Ad court | T | 108 | 51% | +1.3±7.0 | |
| 2nd | Ad court | Wide | 62 | 53% | +4.4±8.6 | |
| 2nd | Deuce court | Body | 96 | 48% | −0.8±7.3 | |
| 2nd | Deuce court | T | 69 | 51% | +1.7±8.3 | |
| 2nd | Deuce court | Wide | 124 | 50% | +2.2±6.6 |
Signature patterns
Recurring sequences that win more than Guido Pella's own baseline, ranked by edge weighted by how often they're used.
Serve → +1
- T serve (deuce court) → FH through the middle used 2.8% · won 63% · −1.2±9.9 vs own baseline
- Body serve (ad court) → FH crosscourt used 2.6% · won 61% · −3.0±10.3 vs own baseline
- T serve (deuce court) → BH crosscourt used 2.7% · won 58% · −5.6±10.3 vs own baseline
- Wide serve (deuce court) → FH crosscourt used 3.4% · won 58% · −6.0±9.6 vs own baseline
- T serve (deuce court) → BH through the middle used 2.0% · won 54% · −9.9±11.2 vs own baseline
Return
- vs T serve (deuce court) → FH through the middle, deep used 3.0% · won 51% · +10.9±10.9 vs own baseline
- vs wide serve (ad court) → FH through the middle, deep used 3.2% · won 47% · +7.5±10.7 vs own baseline
- vs wide serve (deuce court) → BH through the middle, deep used 4.1% · won 46% · +6.3±10.0 vs own baseline
- vs T serve (ad court) → BH direction unknown used 2.4% · won 48% · +8.1±11.4 vs own baseline
- vs wide serve (deuce court) → BH crosscourt, deep used 2.3% · won 45% · +5.2±11.5 vs own baseline
Rally, consecutive own shots
- FH crosscourt → FH down the line used 6.6% · won 54% · +7.2±6.5 vs own baseline
- FH down the line → FH crosscourt used 1.7% · won 57% · +9.7±10.5 vs own baseline
- FH through the middle → FH crosscourt used 3.8% · won 52% · +4.9±8.2 vs own baseline
- FH through the middle → FH through the middle used 2.0% · won 54% · +6.8±10.2 vs own baseline
- BH through the middle → FH crosscourt used 4.8% · won 51% · +4.1±7.5 vs own baseline
Discovered sequences
Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Guido Pella wins the point once the sequence happens, weighted by how often it happens. Think of them as chess openings.
- FH crosscourt → BH crosscourt → FH down the line used 1.2% · won 55% · +7.9±9.4 vs own baseline · +10.0 vs tour on the same sequence Disrupted by Jaume Munar (6/12), Roberto Bautista Agut (5/8)
- FH crosscourt → BH through the middle → FH down the line used 1.1% · won 54% · +7.4±9.6 vs own baseline · +4.4 vs tour on the same sequence Disrupted by Dominic Thiem (6/14), Jaume Munar (5/11)
- BH crosscourt → FH down the line → FH crosscourt used 0.8% · won 55% · +7.6±10.6 vs own baseline · +11.8 vs tour on the same sequence Disrupted by Jaume Munar (5/8)
- Wide serve → FH through the middle return, mid → FH crosscourt used 0.4% · won 55% · +8.2±12.5 vs own baseline · +7.3 vs tour on the same sequence
- BH crosscourt → FH through the middle → FH crosscourt used 0.8% · won 53% · +6.0±10.8 vs own baseline · +4.3 vs tour on the same sequence Disrupted by Jaume Munar (4/7)
- FH through the middle → FH down the line → FH crosscourt used 0.7% · won 53% · +6.1±11.0 vs own baseline · +13.1 vs tour on the same sequence
Strengths and vulnerabilities
Value per 100 shots compared with the average player hitting (strengths) or facing (vulnerabilities) the same shot. Only shot types seen at least 120 times.
Hurts opponents most with
| BH to the middle · return +1 | +1.6 | 120 |
| BH to their forehand · return +1 | +1.3 | 129 |
| Wide 1st serve · ad court | +1.2 | 339 |
| FH to the middle · return | +1.2 | 283 |
| BH to the middle · return | +0.9 | 314 |
Most exposed to
| FH to their backhand · return | −2.5 | 125 |
| BH to their backhand · return | −2.5 | 144 |
| BH to the middle · return | −2.2 | 276 |
| FH to their backhand · return +1 | −1.9 | 190 |
| FH to their backhand · rally | −1.6 | 767 |
Active players who are best at the shot in the top weakness: Miomir Kecmanovic, Andy Murray, Joao Fonseca, Bernard Tomic, Albert Ramos
Tactical fingerprint
Each bar shows how far a style trait is from the ATP average, in standard deviations.
| 1st serve in | 67% | |
| T serves · deuce | 54% | |
| Avg rally length | 4.8 | |
| Forehand share | 58% | |
| Through the middle | 28% | |
| Deep returns | 32% | |
| T serves · ad | 43% | |
| Drop shots / shot | 2.1% | |
| Chipped returns | 18% | |
| Wide serves · ad | 50% | |
| Run-around forehands | 16% | |
| Backhand slice | 17% | |
| Serve & volley | 1% | |
| Points at net | 8% | |
| Unforced errors / shot | 8.4% | |
| Point-ending shots | 18.6% | |
| Wide serves · deuce | 35% | |
| FH down the line | 24% | |
| BH down the line | 11% |
Plays most like
- Gael Monfils 2005–2026 plan v
- Mackenzie Mcdonald 2015–2025 plan v
- Daniel Elahi Galan 2020–2025 plan v
- Miomir Kecmanovic 2019–2026 plan v
- Juan Martin Del Potro 2007–2022 plan v
- Nuno Borges 2021–2026 plan v
- Roberto Bautista Agut 2013–2026 plan v
- Alex Molcan 2022–2026 plan v
Closest from another era
- Andrei Pavel 1999–2006
- Michael Chang 1989–1998
- Magnus Norman 2000–2001
Charted matches
- Andrey Rublev v Guido Pella ATP Cup RR · Hard · 2 Feb 2021
- Guido Pella v Fabio Fognini L Australian Open R32 · Hard · 24 Jan 2020
- Guido Pella v Roberto Bautista Agut L Wimbledon QF · Grass · 10 Jul 2019
- Guido Pella v Kevin Anderson W Wimbledon R32 · Grass · 5 Jul 2019
- Guido Pella v Dominic Thiem L Barcelona QF · Clay · 26 Apr 2019
- Rafael Nadal v Guido Pella L Monte Carlo Masters QF · Clay · 19 Apr 2019
- Laslo Djere v Guido Pella W Monte Carlo Masters R64 · Clay · 14 Apr 2019
- Alex Bolt v Guido Pella W Indian Wells Masters R64 · Hard · 10 Mar 2019
- Marco Cecchinato v Guido Pella L Buenos Aires SF · Clay · 16 Feb 2019
- Jaume Munar v Guido Pella W Buenos Aires QF · Clay · 15 Feb 2019
- Guido Pella v Juan Ignacio Londero Cordoba F · Clay · 10 Feb 2019
- Albert Ramos v Guido Pella W Cordoba R16 · Clay · 4 Feb 2019